May Mobility
Autonomous Vehicles
LeadML/PerceptionEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead ML/Perception Engineer at May Mobility. Skills: ML/Perception, Autonomous vehicles, System architecture, Robotics. Develop software and system requirements. Lead architectural updates to perception stack”
Industry & Context.
Issue diagnosis; Issue resolution
Moderate travel: 11%-25%
What They're Looking For.
Must Have
5+ years industry experience, Master's degree in Robotics, Computer Science, or Computer Engineering, Demonstrated experience leading architectural decisions, Programming skills in C/C++/Python, Software development in Linux environments, Experience in ML/DL development with PyTorch/TensorFlow, Direct experience developing or fine-tuning large-scale multi-modal models, Experience with real-time areas: Computer Vision, Experience with Semantic scene understanding, Experience with Perception robustness in degraded conditions, Experience with Multi-target tracking and sensor fusion, Extensive experience deploying features, Experience re-architecting legacy perception systems, Experience utilizing large-scale multi-modal models for edge-case detection, Experience with explainable AI in autonomous systems
Nice to Have
Experience with synthetic data in ML system development, Familiar with Reinforcement Learning (RL), Familiar with ML/DL optimization on real-time products
What You'll Do.
Develop software and system requirements
Lead architectural updates to perception stack
Design system-level architecture
Modularize perception stack
Migrate perception stack
Design scene detection capabilities
Develop scene detection capabilities
Own scene detection capabilities
Classify operating scene/scenario
Trigger appropriate perception behaviors
Improve perception robustness
Handle sensor fault detection
Monitor sensor health
Implement graceful degradation strategies
Implement fallback strategies
Design perception features
Implement perception features
Test perception features
Integrate multi-modal models
Improve semantic scene understanding
Improve scene reasoning
Track technical performance of perception
Trend technical performance of perception
Lead feature development
Lead extensive testing
Satisfy release schedules
Lead development for data pipelines
Lead development for development pipelines
Lead development for ML pipelines
Align multimodal data for training
How You'll Work.
Team & Collaboration
Cross-functional teams
Communication Scope
Written communication; Verbal communication
Process & Methodology
Feature design, Code reviews, Issue diagnosis, Issue resolution
Full Job Description
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. As Perception Lead, you will own the technical direction of how our vehicles see and interpret the world. This is a hands-on role focused on three priorities: advancing scene detection so the system reliably recognizes its operating context and engages the right behavior; hardening perception against sensor degradation and adverse weather (rain, snow, fog, glare, low light, and sensor soiling or occlusion) so performance degrades gracefully and safely; and driving major architectural updates to evolve our perception stack into a scalable, maintainable, production-gra
Applying for this Lead ML/Perception Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about May Mobility?
Real rants from real employees. Read before you apply.